plot.ULDA: Plot Decision Boundaries and Linear Discriminant Scores

In folda: Forward Stepwise Discriminant Analysis with Pillai's Trace

Plot Decision Boundaries and Linear Discriminant Scores

Description

This function plots the decision boundaries and linear discriminant (LD) scores for a given ULDA model. If it is a binary classification problem, a density plot is created. Otherwise, a scatter plot with decision boundaries is generated.

Usage

## S3 method for class 'ULDA'
plot(x, datX, response, ...)

Arguments

x	A fitted ULDA model object.
datX	A data frame containing the predictor variables.
response	A factor representing the response variable (training labels) corresponding to datX.
...	Additional arguments.

Value

A ggplot2 plot object, either a density plot or a scatter plot with decision boundaries.

Examples

fit <- folda(datX = iris[, -5], response = iris[, 5], subsetMethod = "all")
plot(fit, iris[, -5], iris[, 5])

folda documentation built on Oct. 30, 2024, 9:14 a.m.